ArticleJournal of global oncology2017
High Epidermal Growth Factor Receptor Mutation Rates in Peruvian Patients With Non-Small-Cell Lung Cancer: Is It a Matter of Asian Ancestry?
Article in Journal of global oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Fast, accurate local ancestry inference with FLARE.American journal of human genetics · 2023Article
- Real-world outcomes of anti-EGFR therapy in advanced non-small cell lung cancer EGFR mutated in Peru.Thoracic cancer · 2023Article
- Lung Cancer in the Young.Lung · 2020Article
- Precision medicine for locally advanced breast cancer: frontiers and challenges in Latin America.Ecancermedicalscience · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.